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DeepSeek V4

deepseek/deepseek-v4

The mid-2026 flagship using Engram memory architecture, specializing in 1M+ token code generation and autonomous refactoring.

How to Use

To get started, install the `transformers` library:

pip install transformers

Then, use the following snippet to load the model:

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "deepseek/deepseek-v4"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

# Your inference code here...

Available Versions

Tag / Variant	Size	Format	Download
deepseek/deepseek-v4:BF16	685GB	SafeTensors	Link

Model Details

Teacher Model

Original Architecture (Engram)

Distillation Method

Knowledge Distillation (Logits)

Training Dataset

Flickr30k (Conceptual)

Primary Task

Multimodal Generation

Performance Metrics (Example)

Metric	Student Model	Teacher Model
Model Size	685B	8.5GB
BLEU Score	28.5	30.1